Global Vs. Per-domain monitoring of multi-domain networks

Abstract

Abstract-Mutli-domain monitoring aims at guaranteeing QoS for services crossing several domains. It is often desirable to perform global monitoring to guarantee end-to-end QoS for services across domains and to reduce the monitoring cost. However, global monitoring might be infeasible due to confidentiality constraints. The alternative solution is to perform per-domain monitoring.In this work, we propose to evaluate global and per-domain monitoring techniques. For this end, we study the properties of multi-domain networks and the requirements of multi-domain monitoring. We provide an ILP formulation of the problem. We show that the problem is NP-complete, and therefore, we devise a heuristic that meets multi-domain properties. We show that confidentiality is far from being the only constraint to global multi-domain monitoring. In our evaluation, the confidentiality constraint has been relaxed, in order to investigate other performance metrics; namely, the monitoring cost, the quality of monitored paths, the anomaly detection delays, and the fairness of monitoring load distribution usage among domains. Simulation results on random topologies show that per-domain monitoring outperforms global monitoring for all these metrics, except the monitoring cost that is slightly lower for global monitoring.

Unified representation of monitoring information across federated cloud infrastructures

“…According to the outcomes of the study presented in [22], the most suitable approach to address a multi-domain measurement framework is to distribute the load of data among the different domains instead of processing the measurements from a central entity. This assessment must be subject to the characteristics of multi-domain networks and the impact of monitoring performance.…”